GitHub - uk847/emg-gender-classification: This project uses time-domain EMG signal features to classify gender (male/female) via various machine learning models. It explores multiple resampling techniques (SMOTE, ADASYN, etc.) to handle class imbalance and compares model performance using cross-validation and test accuracy. Visual plots a

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Name		Name	Last commit message	Last commit date
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.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
classification-code.py		classification-code.py
emgchunksfeaturesdata.csv		emgchunksfeaturesdata.csv
requirements.txt		requirements.txt

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This project uses time-domain EMG signal features to classify gender (male/female) via various machine learning models. It explores multiple resampling techniques (SMOTE, ADASYN, etc.) to handle class imbalance and compares model performance using cross-validation and test accuracy. Visual plots a

machine-learning emg emg-signal signal-classification biomed

MIT license